Course Datasets

The following datasets will be used in the course:

---

titanic

Real data on 963 passengers on the Titanic

• Short URL: https://bit.ly/amlr-titanic
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/titanic.csv

---

airsat

Real data on 10,000 customers of an airline

• Short URL: https://bit.ly/amlr-airsat
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/airsatisfaction.csv

---

iris

Real data on 150 iris flowers.

• Available from the base R {datasets} package.

---

globalWarm

Real data on emotions, ideology, and party affiliation as predictors of attitudes towards government action on climate change.

• Available from the {psychTools} package.

---

heart

Real data on risk for heart disease.

• Short URL: https://bit.ly/amlr-heart
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/heart.csv

---

ahd

Real data on Alzheimer’s Disease.

• Short URL: https://bit.ly/amlr-ahd
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/ahd.csv

---

hcp_memory

Real neuroimaging data from the Human Connectome Project used to predict scores on a memory test. Note: artificially modified to increase predictive power and make activities more engaging.

• Short URL: https://bit.ly/amlr-memory
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/hcp_memory.csv

---

water

Real data on 3276 different water bodies. Modified to turn Potability from a numeric variable (dummy code) into a character variable.

• Short URL: https://bit.ly/amlr-water
• Long URL: https://github.com/PittMethods/appliedml/blob/main/data/water.csv
• Original Source: https://www.kaggle.com/adityakadiwal/water-potability

---

attrition

Simulated data on 1470 fictional employees who either quit their job (attrition = yes) or did not (attrition = no).

• Available from the {modeldata} package